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python-integrationPython 集成

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

212

周安装

9

GitHub Stars

12

下载量

74
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python-integration(Python 集成)
来源仓库:https://github.com/claude-dev-suite/claude-dev-suite
仓库路径:skills/python-integration
安装命令:
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill python-integration
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill python-integration

简介

协助 Python 项目与其他系统的集成对接。

  • 支持 RESTful API、gRPC 或消息队列通信。
  • 生成适配器代码处理协议转换与错误重试。
  • 需明确上下游系统 SLA 与数据格式契约。
  • 集成测试应覆盖网络异常与限流场景。python-integration 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Python Integration Testing — Core Patterns

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: python-integration-testing for comprehensive documentation on patterns, SQLAlchemy fixtures, Alembic, and CI/CD.

Test Pyramid (70/20/10 Rule)

         ╔══════════╗
         ║   E2E    ║  10% — Playwright, Selenium, full stack
         ╠══════════╣
         ║Integration║  20% — Real DB, real services, API flows
         ╠══════════╣
         ║   Unit   ║  70% — Fast, isolated, no I/O
         ╚══════════╝

Integration tests touch at least 2 real components:

  • Application code + real database
  • API endpoint + real dependency
  • Message producer + real broker

conftest.py Architecture

tests/
├── conftest.py              # Session: containers, engines
├── unit/
│   ├── conftest.py          # Unit-only fixtures
│   └── test_services.py
├── integration/
│   ├── conftest.py          # DB sessions, HTTP clients
│   ├── test_api.py
│   └── test_repositories.py
└── e2e/
    ├── conftest.py
    └── test_flows.py
# tests/conftest.py — session-level infrastructure
import pytest
from testcontainers.postgres import PostgresContainer
from testcontainers.redis import RedisContainer

@pytest.fixture(scope="session")
def postgres_container():
    with PostgresContainer("postgres:16-alpine") as pg:
        yield pg

@pytest.fixture(scope="session")
def redis_container():
    with RedisContainer("redis:7-alpine") as redis:
        yield redis
# tests/integration/conftest.py — per-test isolation
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

@pytest.fixture(scope="module")
def engine(postgres_container):
    url = postgres_container.get_connection_url()
    eng = create_engine(url)
    Base.metadata.create_all(eng)
    yield eng
    Base.metadata.drop_all(eng)

@pytest.fixture
def db_session(engine):
    """Savepoint rollback — fast and safe."""
    conn = engine.connect()
    trans = conn.begin()
    session = sessionmaker(bind=conn)()
    nested = conn.begin_nested()
    yield session
    session.close()
    nested.rollback()
    trans.rollback()
    conn.close()

pytest Markers

# pyproject.toml
[tool.pytest.ini_options]
markers = [
    "integration: integration tests (require Docker)",
    "slow: slow tests (> 5 seconds)",
    "e2e: end-to-end tests",
]
# Mark tests
@pytest.mark.integration
def test_user_persisted(db_session):
    ...

# Skip if no Docker
import shutil
requires_docker = pytest.mark.skipif(
    not shutil.which("docker"),
    reason="Docker not available"
)

@pytest.mark.integration
@requires_docker
def test_with_container():
    ...
# Run only integration tests
pytest -m integration

# Exclude slow tests
pytest -m "integration and not slow"

# Run everything except e2e
pytest -m "not e2e"

GitHub Actions — Testcontainers vs Service Containers

Testcontainers (recommended): containers managed by the test code itself.

# .github/workflows/integration-tests.yml
name: Integration Tests
on: [push, pull_request]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with: { python-version: "3.12" }
      - run: pip install -e ".[test]"
      - run: pytest -m integration -v
        env:
          DOCKER_HOST: unix:///var/run/docker.sock

Service containers (simpler for single-service tests):

jobs:
  test:
    runs-on: ubuntu-latest
    services:
      postgres:
        image: postgres:16
        env:
          POSTGRES_DB: testdb
          POSTGRES_USER: test
          POSTGRES_PASSWORD: test
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5
        ports: ["5432:5432"]
    steps:
      - run: pytest -m integration
        env:
          DATABASE_URL: postgresql://test:test@localhost:5432/testdb
TestcontainersService Containers
ControlFull (image, config, wait)Limited
Multiple servicesEasyPossible but verbose
Reuse across jobsNoNo
Local dev parityYesNo

Parallel Execution — pytest-xdist

pip install pytest-xdist

pytest -n 4        # 4 workers
pytest -n auto     # one per CPU core

Database isolation strategies with xdist:

# 1. Database per worker (most isolated)
@pytest.fixture(scope="session")
def db_url(worker_id, tmp_path_factory):
    if worker_id == "master":
        return create_db("test_db")
    return create_db(f"test_db_{worker_id}")

# 2. PostgreSQL schema per worker
@pytest.fixture(scope="session")
def db_session(worker_id, engine):
    schema = f"test_{worker_id}"
    with engine.connect() as conn:
        conn.execute(text(f"CREATE SCHEMA IF NOT EXISTS {schema}"))
    yield ...

# 3. Transaction rollback (works without worker isolation)
@pytest.fixture
def db_session(engine):
    conn = engine.connect()
    conn.begin()
    conn.begin_nested()  # SAVEPOINT
    yield sessionmaker(bind=conn)()
    conn.rollback()
    conn.close()

Test Isolation Comparison

PatternMechanismSpeedTransactional
Savepoint rollbackBEGIN + SAVEPOINT + ROLLBACK★★★★★No
Truncate tablesDELETE FROM / TRUNCATE★★★★☆Yes
Drop/recreate DBDROP + CREATE DATABASE★★☆☆☆Yes
Container per testNew container★☆☆☆☆Yes

Anti-Patterns

Anti-PatternWhy It's BadSolution
Integration tests in unit test suiteFalse CI confidenceSeparate by marker/directory
Creating container per test10–30s overhead per testSession-scoped containers
Hardcoded connection stringsCI failuresUse container.get_connection_url()
No test isolationTests interfereSavepoint rollback or truncate
Missing --reuse-db in devSlow iterationAdd --reuse-db to dev addopts

Reference Documentation

Official docs:

适合场景

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02

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

31.62%
按下载量换算23

Claude

31.07%
按下载量换算23

Cursor

19.11%
按下载量换算14

Gemini CLI

9.52%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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来源信息

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